LabscoMCP early access ↗
Cyreslab-AIMCP SERVER

ExploitDB MCP Server

Search the Exploit Database locally — by CVE, platform, type, author, date or tag — with exploit code, comparisons, timelines and CSV export.

by Cyreslab-AI ↗Vulnerability Scanning & Application SecurityCommunity

LABSCO SUMMARY

A local copy, so the searching is free and the pivots are cheap.

Once the database is built, everything runs against SQLite on your own machine: no API key, no rate limit, and no reason not to run five variations of a query. That is what makes the pivot tools worth having — comparing exploits side by side, walking related entries by author or platform, and exporting the result set to CSV are all things you avoid doing against a rate-limited web interface. Budget several minutes for the first npm run update-db, and set UPDATE_INTERVAL so the copy does not quietly go stale.

What it is

An MCP server that keeps a local SQLite copy of the Exploit Database and exposes 18 tools over it. Because the data is local, queries are fast and free, and the copy refreshes on a schedule you set. The database it builds typically holds more than 46,000 exploits from 1988 onward, across 60+ platforms.

What you get

  • General search with combined filters — keyword, platform, type, CVE, author, date range, verified status and pagination — plus a single exploit fetched in full, with its code if you ask for it — search_exploits, get_exploit
  • Every exploit tied to a CVE, and the most recently added entries — find_by_cve, get_recent_exploits
  • Targeted searches by platform, by exploit type (webapps, remote, local, dos, hardware), by author, by date range, and by generated tags such as sql injection or xss — search_by_platform, search_by_type, search_by_author, search_by_date_range, search_by_tags
  • Distribution statistics for the whole database or one platform, additions over a configurable recent window, and a chronological timeline — get_statistics, get_platform_statistics, get_trending_exploits, get_exploit_timeline
  • Several exploits compared side by side, related entries found by platform, author, CVE or tag, and up to 50 records fetched in one batch — compare_exploits, get_related_exploits, batch_get_exploits
  • An id checked for existence before you build on it, and a result set exported as JSON or CSV — validate_exploit_id, export_search_results

Requirements

No account and no key — the data comes from the public Exploit Database CSV or its GitLab repository. Node.js v16 or higher and npm v7 or higher. Install from a clone with npm install and npm run build, then run npm run update-db once to build the local database; that first load takes several minutes because it processes roughly 47,000 records. DB_PATH and DATA_DIR set where the SQLite file lives, UPDATE_INTERVAL sets the refresh in hours with 0 disabling it, and MAX_RESULTS caps results per query at 10 by default — raise it before running a broad export.

Setup effort

Build from source — git clone https://github.com/Cyreslab-AI/exploitdb-mcp-server.git